Telephony text-prompted speaker verification using i-vector representation

Hossein Zeinali; Elaheh Kalantari; Hossein Sameti; Hossein Hadian

ICASSP 2015accepted0 citations

Telephony text-prompted speaker verification using i-vector representation

Hossein Zeinali, Elaheh Kalantari, Hossein Sameti, Hossein Hadian

Abstract

I-vectors have proved to be the most effective features for text-independent speaker verification in recent researches. In this article a new scheme is proposed to utilize i-vectors in text-prompted speaker verification in a simple while effective manner. In order to examine this scheme empirically, a telephony dataset of Persian month names is introduced. Experiments show that the proposed scheme reduces the EER by 31% compared to the state-of-the-art State-GMM-MAP method. Furthermore it is shown that using HMM instead of GMM for universal background modeling leads to 15% reduction in EER.

BibTeX

@inproceedings{icassp2015_telephonytextpro,
  title = {Telephony text-prompted speaker verification using i-vector representation},
  author = {Hossein Zeinali and Elaheh Kalantari and Hossein Sameti and Hossein Hadian},
  booktitle = {ICASSP 2015},
  year = {2015}
}